Using adaptive edge technique for detecting microaneurysms in fluorescein angiograms of the ocular fundus

被引:9
|
作者
Hafez, M [1 ]
Azeem, SA [1 ]
机构
[1] Bahgat Grp, Dept Res & Dev, Giza, Egypt
关键词
digital image processing; Hough transform; Sobel edge detector; Canny edge detector; image segmentation;
D O I
10.1109/MELECON.2002.1014639
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a new digital image-processing algorithm for detecting Microaneurysms in Fluorescein Angiograms of the Ocular Fundus for diabetic retinopathy patients. Firstly, edges in the image have been detected using Canny edge detector. Edges which represent vessel segments have been removed from the image. Sobel edge detection is then used for the neighborhoods of the remaining objects. The analysis of size, shape, and energy characteristics of the resultant Objects is used to finally segment the microaneurysm from other retinal feature. The proposed scheme outperforms currently available techniques in both the sensitivity of microaneurysms detection and the speed of performance.
引用
收藏
页码:479 / 483
页数:3
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